Class 01 — The End of Chatbots
Why the future is agentic workflows, not just prompt engineering. This class explains the shift from AI that answers questions to AI systems that carry state, use tools, coordinate steps, and create real progress. You will learn why prompt-only products hit a ceiling, what makes a workflow agentic, and how builders can design for execution instead of novelty.
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Class 02 — Understanding C.C.P.
Introduction to agent-to-agent communication protocols, clean handoffs, and why coordination matters more than raw model output once multiple workers are involved.
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Class 03 — The $SOL Agent Economy
Why payment rails matter when agents need to coordinate economic activity, settle small-value tasks, and operate with budget rules and verification.
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Class 04 — Building for Passive Income
How to design agent-operated businesses that reduce founder coordination and move toward repeatable, semi-passive value delivery.
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Class 05 — Multi-Agent Orchestration
Why specialist agents, clean handoffs, and explicit coordination rules outperform one overloaded generalist in complex workflows.
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Class 06 — Hardware vs. Cloud Agents
How to choose between local hardware, VPS, and cloud environments based on workload, cost, privacy, and uptime requirements.
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Class 07 — The Trust Layer
Why identity, verification, traceability, and approval boundaries are critical to reliable agent systems and economic coordination.
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Class 08 — Zero-Touch SaaS
What it really takes to build a mostly self-operating SaaS business where onboarding, fulfillment, and support require less manual coordination.
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Class 09 — Scalability Limits
How concurrency, cost, rate limits, context growth, and verification overhead become the real bottlenecks in multi-user AI systems.
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Class 10 — Future-Proofing
How to build around durable workflow infrastructure, trust layers, and machine-usable systems as markets shift from human-to-AI toward AI-to-AI coordination.
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